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Microsoft Data Engineer Jobs in Austin, TX (NOW HIRING)

Staff Data Engineer

Austin, TX

$113K - $136K/yr

ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: * Act as a key ... Data Engineers. * Implement extensible, maintainable, and reusable code using appropriate coding ...

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: * Act as a key ... Data Engineers. * Implement extensible, maintainable, and reusable code using appropriate coding ...

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

ChatGPT, Microsoft Copilot) to support everyday work. Key Responsibilities: * Act as a key ... Data Engineers. * Implement extensible, maintainable, and reusable code using appropriate coding ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Proficiency with Microsoft Word, Excel, PowerPoint, and Visio. * Strong organizational, analytical ...

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Proficiency with Microsoft Word, Excel, PowerPoint, and Visio. * Strong organizational, analytical ...

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. KEY COMPETENCIES: * Analytical thinking and problem-solving * Data modeling and architecture

Data Analytics Engineer

Austin, TX · On-site

$125 - $150/hr

Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. KEY COMPETENCIES: * Analytical thinking and problem-solving * Data modeling and architecture

Data Analytics Engineer

Austin, TX · On-site

$100 - $125/hr

Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. KEY COMPETENCIES: * Analytical thinking and problem-solving * Data modeling and architecture

Data Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

... Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions. • Use Microsoft Power Platform and Logic Apps to support data integration, automation, and ...

Data & AI Solutions Engineer

Austin, TX · On-site

$113K - $136K/yr

We are seeking a Data & AI Solutions Engineer to design, build, and scale enterprise-grade data and AI solutions across UTIMCO's Microsoft ecosystem. This role combines software engineering, cloud ...

... Microsoft Azure platform globally with our server and data center infrastructure, security and ... The Compute Silicon & Manufacturing Engineering (CSME) organization within SCHIE is responsible for ...

Showing results 21-40

Microsoft Data Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do microsoft data engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for microsoft data engineer in Austin, TX is $128,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What is a Microsoft data engineer?

A Microsoft Data Engineer is responsible for designing, building, and maintaining data solutions using Microsoft technologies such as Azure Data Factory, SQL Server, and Power BI. They work with large datasets, implement data pipelines, and optimize database performance to support business intelligence and analytics. Their role often involves ensuring data quality, security, and scalability while collaborating with data analysts and developers.

What are the typical day-to-day responsibilities of a Microsoft data engineer?

As a Microsoft Data Engineer, your daily tasks usually involve designing, building, and managing data pipelines using Microsoft Azure and SQL Server technologies. You'll collaborate closely with data analysts, business stakeholders, and software engineers to ensure data is accessible, accurate, and optimized for reporting and analytics needs. Regular activities may include developing ETL processes, troubleshooting data issues, maintaining data security, and optimizing performance. This role often provides a dynamic work environment with opportunities to work on cross-functional projects and continually adopt new Microsoft data tools as they evolve.

What are the key skills and qualifications needed to thrive in the Microsoft data engineer position, and why are they important?

Microsoft Data Engineers require a solid understanding of data modeling, ETL processes, and database management, often backed by a degree in computer science or a related field. Familiarity with Microsoft technologies such as Azure Data Factory, SQL Server, Power BI, and certifications like Microsoft Certified: Azure Data Engineer Associate is highly valued. Strong problem-solving abilities, communication skills, and attention to detail set top candidates apart. Mastery of these skills ensures the efficient design, development, and maintenance of scalable data solutions within complex business environments.

What are the most commonly searched types of Microsoft Data Engineer jobs in Austin, TX?

The most popular types of Microsoft Data Engineer jobs in Austin, TX are:

What job categories do people searching Microsoft Data Engineer jobs in Austin, TX look for?

The top searched job categories for Microsoft Data Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Microsoft Data Engineer jobs?

Cities near Austin, TX with the most Microsoft Data Engineer job openings:

Infographic showing various Microsoft Data Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Key responsibilities

  • Participate in meetings with stakeholders to identify and clarify requirements and determine business needs.

  • Understand data ecosystems, security, privacy, and retention requirements to support business and product features.

  • Implement, maintain, and improve data pipelines and data products, including testing, automation, and troubleshooting.


Visa rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 21 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Job Summary:
Staff Data Engineers are expert problem-solvers and builders who design, implement, and improve software applications and systems. In this role, engineers spend a significant portion of their time coding, working hands-on with code, data, and modern tools-including AI-assisted development, cloud services, and automation frameworks-to deliver secure, scalable, and high-quality technology solutions that drive business outcomes in the fintech sector. They collaborate with cross-functional teams such as product managers, designers, data scientists, QA, operations, and compliance to translate business requirements into robust technical solutions, all while adhering to best practices, security standards, and regulatory requirements.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

  • Act as a key participant in meetings with stakeholders to identify and clarify requirements and determine business needs.
  • Independently understand data ecosystems, security, privacy, and retention requirements to support business and product features.
  • Translate functional requirements into architecture designs for one or more components, leveraging existing architecture design patterns, and communicate these to Data Engineers.
  • Implement extensible, maintainable, and reusable code using appropriate coding patterns, guidelines, and best practices; participate in code reviews to ensure standards are followed.
  • Provide end-to-end ownership of data products or data pipelines, including mitigation of technical debt and documentation of errors or unexpected bugs.
  • Identify and conduct required testing for moderately complex use cases, including unit testing, coding standards, and security scans.
  • Build tools and standard automation processes to assist in transforming, managing, accessing, deploying, and monitoring data processes in batches and in real time.
  • Write queries to extract and compile raw data across end-to-end pipelines, and implement orchestration techniques to automate data extraction logic.
  • Ensure adherence to data management principles, governance, and tools to maintain data quality across multiple features.
  • Develop and update troubleshooting guidance and procedures for reviewing, addressing, and fixing advanced problems flagged by testing.
  • Manage software upgrades and server patches for security remediation where applicable.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.


Preferred Qualifications:

  • 5+ years of relevant work experience with a Bachelor's Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD, OR 8+ years of relevant work experience.
  • Experience in designing and implementing data pipelines and large-scale data processing jobs.
  • Experience in writing, modifying, and reviewing high-quality, testable, and efficient code.
  • Experience in developing unit, integration, and end-to-end tests with a focus on automation.
  • Experience in building and maintaining CI/CD pipelines and deploying applications using containerization and orchestration tools.
  • Experience in monitoring applications in production and troubleshooting issues using observability tools.
  • Experience in integrating AI or ML services into applications, where applicable.
  • Experience in collecting and analyzing metrics to guide optimizations and improvements.
  • Experience in partnering with stakeholders to clarify requirements and ensure deliverables meet business needs.
  • Experience in applying secure coding practices and complying with regulatory standards.
  • Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
  • Experience in building and pushing code into production.
  • Experience in implementing and supporting real-time systems.
  • Experience in mentoring junior engineers and writing clear technical documentation.


Information for US Applicants

For roles located in the US, the estimated salary range for this position is $131,600.00 to $ 210,300.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958